Speeding up Simplification of Polygonal Curves using Nested Approximations

dc.creatorMarteau, Pierre-François
dc.creatorMénier, Gildas G.
dc.date2007-09-12
dc.date2008-03-02
dc.date.accessioned2026-07-07T09:51:37Z
dc.date.available2026-07-07T09:51:37Z
dc.descriptionWe develop a multiresolution approach to the problem of polygonal curve approximation. We show theoretically and experimentally that, if the simplification algorithm A used between any two successive levels of resolution satisfies some conditions, the multiresolution algorithm MR will have a complexity lower than the complexity of A. In particular, we show that if A has a O(N2/K) complexity (the complexity of a reduced search dynamic solution approach), where N and K are respectively the initial and the final number of segments, the complexity of MR is in O(N).We experimentally compare the outcomes of MR with those of the optimal "full search" dynamic programming solution and of classical merge and split approaches. The experimental evaluations confirm the theoretical derivations and show that the proposed approach evaluated on 2D coastal maps either shows a lower complexity or provides polygonal approximations closer to the initial curves.
dc.description12 pages + figures
dc.identifierhttps://arxiv.org/abs/0709.1941
dc.identifierhttp://arxiv.org/abs/0709.1941
dc.identifierPattern Analysis & Applications (2008) 1-8
dc.identifierdoi:10.1007/s10044-008-0133-y
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/165307
dc.subjectComputational Geometry
dc.titleSpeeding up Simplification of Polygonal Curves using Nested Approximations
dc.typetext

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